Data Engineering Solutions Specialist

Data Engineering Solutions Specialist (REMOTE)

Search Title for Engineer II

The RepTrak Company is the world's premier provider of reputation data and insights, helping businesses harness reputation intelligence to secure competitive advantage. RepTrak's predictive insights enable subscribers to safeguard business value, optimize ROI, and amplify their positive societal impact. Combining advanced metrics with dedicated reputation advisors, RepTrak delivers actionable analyses that align business goals with stakeholder sentiment across global markets and diverse industries.

Established in 2004, The RepTrak Company owns the world's largest reputation benchmarking database, gathering over 1 million company ratings per year used by CEOs, boards, and executives in more than 60 countries worldwide.

The Role

We are seeking a highly motivated Data Engineering Solutions Specialist to join our growing Data Engineering team. This is a role that combines hands-on data engineering with client data analysis project management providing APAC Time Zone Support. You will play a critical part in renovating Python-based data workflows to ensure timely, high-quality delivery of survey-based analytical insights.

This role is ideal for someone who enjoys both building with data and communicating with internal team members globally and locally, and is comfortable owning data analysis and Python coding deliverables end-to-end.

Specific Responsibilities Include

Technical Execution

• Develop, maintain, and optimize Python scripts for survey data ingestion, transformation, and analysis.
• Support the development of new Python-based data pipelines from legacy system during the transition phase.
• Work with internal teams globally and locally to troubleshoot and improve data pipelines, queries, and storage logic.
• Ensure data accuracy, reproducibility, and compliance across all processing stages.
• Assist in automating repetitive tasks and contributing to the tooling used in survey data reporting and delivery.
• Integrate within Global Data Processing workflows as part of core company strategy
• Leverage existing internal global processes to ensure proper documentation and communication with global engineering team

Project Engineering Management

• Work with internal teams globally and locally to manage data engineering projects through to fruition
• Gather, clarify, and manage internal requirements, ensuring both near-term needs and longer-term expectations (aligned with new Python-based pipeline capabilities) are met.
• Proactively manage expectation gaps by communicating limitations and upcoming enhancements in the evolving data pipeline
• Play a key role in shaping future Python-based data delivery solutions by analyzing client needs and feeding requirements into development planning.
• Collaborate closely with the Data Science team to swiftly execute the transition from legacy Excel-based deliverables to the new standardized delivery outputs via Python
• Coordinate project timelines, delivery schedules, and feedback loops across internal stakeholders
• Maintain clear documentation and communication throughout the full lifecycle of each project.
• Coordinate tasks efficiently across a global team, managing collaboration across multiple time zones.

Please note that this role reports into a global function and is part of a non-APAC based team. As such, team meetings are often in time zones that correspond to US and EMEA based working hours. Attendance at team meetings is important.

Professional Qualifications Required

• At least 4 years of experience coding in Python and full competency, especially for data manipulation (e.g., pandas, NumPy).
• At least 4 years of hands-on experience and full competency with relational databases (e.g., PostgreSQL, Redshift), including query performance optimization.
• 2–5 years of experience in a data analyst, data engineer, or technical project coordination role
• Strong understanding of statistical analysis and common survey data structures.
• Demonstrated experience managing multiple concurrent stakeholder relationships.
• Excellent written and verbal communication skills, especially in translating technical topics for non-technical audiences.
• Willingness and interest in working for a global company and being part of a global Data Engineering team
• Nice to Have
  • Familiarity with survey data analysis
  • Working knowledge of AWS (Redshift, S3, etc.) and Jupyter Notebook.
  • Experience working in a client-facing environment.
  • Exposure to BI/reporting tools (e.g., Tableau, PowerBI) or custom data delivery formats.
  • Understanding of ETL/ELT best practices and data validation frameworks.

Work Location

This position is fully remote. Ideal candidates are located within the APAC time zone.

Compensation

The role encompasses a compensation package including a competitive salary and an annual performance bonus plan. RepTrak offers a full benefits program including company holidays, paid vacation, and more.

The RepTrak Company is committed to diversity in the workplace and is an Equal Opportunity Employer. For more information, please visit our website